# Get data frame analytics job configuration info
**GET /_ml/data_frame/analytics/{id}**
**All methods and paths for this operation:**
GET
/_ml/data_frame/analytics
GET
/_ml/data_frame/analytics/{id}
You can get information for multiple data frame analytics jobs in a single
API request by using a comma-separated list of data frame analytics jobs or a
wildcard expression.
## Required authorization
* Cluster privileges: `monitor_ml`
## Servers
- http://api.example.com: http://api.example.com ()
## Authentication methods
- Api key auth
## Parameters
### Path parameters
- **id** (string)
Identifier for the data frame analytics job. If you do not specify this
option, the API returns information for the first hundred data frame
analytics jobs.
### Query parameters
- **allow_no_match** (boolean)
Specifies what to do when the request:
1. Contains wildcard expressions and there are no data frame analytics
jobs that match.
2. Contains the `_all` string or no identifiers and there are no matches.
3. Contains wildcard expressions and there are only partial matches.
The default value returns an empty data_frame_analytics array when there
are no matches and the subset of results when there are partial matches.
If this parameter is `false`, the request returns a 404 status code when
there are no matches or only partial matches.
- **from** (number)
Skips the specified number of data frame analytics jobs.
- **size** (number)
Specifies the maximum number of data frame analytics jobs to obtain.
- **exclude_generated** (boolean)
Indicates if certain fields should be removed from the configuration on
retrieval. This allows the configuration to be in an acceptable format to
be retrieved and then added to another cluster.
## Responses
### 200
#### Body: application/json (object)
- **count** (number)
- **data_frame_analytics** (array[object])
An array of data frame analytics job resources, which are sorted by the id value in ascending order.
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